train_X = train_df.values[:, :-1] train_y = train_df.values[:, -1].astype(int) test_X = test_df.values[:, :-1] test_y = test_df.values[:, -1].astype(int) train_X = np.concatenate([train_X, np.zeros((train_X.shape[0], 5))], axis=1) test_X = np.concatenate([test_X, np.zeros((test_X.shape[0], 5))], axis=1) train_y_onehot = np.zeros((train_X.shape[0], 5)) for i in range(train_X.shape[0]): train_y_oneh
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